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For purpose of comparison, we also computed estimates and confidence intervals under a worst (best) case imputation [ 9, 19], where missing outcome data in each stratum were imputed as no recurrence (recurrence) in controls and recurrence (no recurrence) in the intervention group.
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Our sensitivity analysis showed that the worst and best case imputations were too extreme.
In the worst and best case imputations the confidence intervals did not overlap zero.
Finally, to provide data on an intention-to-treat basis, we conducted a sensitivity analysis using two scenarios (worst and best-case imputation), which were highly unrealistic.
For intention-to-treat analysis on the main outcome measure, we used sensitivity analysis on the primary outcome by considering two extreme scenarios (worst and best-case imputation, respectively).
Similarly, imputation of missing Barthel index scores using three methods (best case, worst care, and multiple imputation) did not change the conclusions.
The primary and secondary outcomes will be based on available case analysis with a sensitivity analysis using multiple imputations, best case and worst case analysis.
Sensitivity analyses excluded clusters with fewer than three participants and examined the effects of missing data using best case (last value carried forward), worst case (zero), and multiple imputation methods.
The best case was to maintain.
But it is the logical best case.
And this is the best case scenario.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com